Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
-
-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
-
-omics data sets generated with innovative high-throughput technologies used in Research Sections I and II (e.g. sensory, metabolome, proteome and transcriptome data) by using efficient algorithms and
-
-sampling data. Furthermore, the position holder will play a central role in creating high-quality training datasets (seagrass maps) to support artificial intelligence (AI) algorithms used in related projects
-
near-real-time forecast system for the Baltic Sea Generate high-resolution daily surface salinity maps for the Baltic Sea and validate them with available observational datasets Develop algorithms and
-
international partners. Become part of our team Zoological taxidermist / restaurator / conservator (f/m/d) Work schedule: full-time (currently 39 hours and 24 minutes) Duration: at the earliest possible date
-
. The interviews are scheduled for 6 and 7 August 2025. Equality of opportunity is part of our personnel policy. Disabled applicants with adequate qualification will be preferentially considered. By submitting
-
schedules tailored to your needs as well as remote work are key parts of our work culture. DIW Berlin supports your professional and personal qualification and advancement via internal and external career
-
look forward to receiving your application with the reference number 2025-010 BI-PostDoc until 17 August 2025 using the application form . Please note that flyouts are scheduled for September 16 and 17
-
rural communities in the Ferghana Valley of Kyrgyzstan, Tajikistan and Uzbekistan according to the schedule agreed with the supervisors. Institutional support during the field work in Kyrgyzstan